Cory Siebler
Senior Software Engineer
I am a full-stack developer specializing in web development with Next.js and Python. Want to see more of my work? Check out my GitHub account.
Want to hire me? Reach out to Phi Technology Solutions and I will build and innovate with you!
My Skills
I have 14 years professional experience in the software industry. From database management to front-end libraries, I contribute to all aspects of the software architecture. I enjoy discovering new technology and I am always open to exploring the latest trends in engineering.
AI Agents
🤖 Building AI-augmented developer workflows with OpenCode, OpenAI-powered tools, MCP servers, LangGraph, Ollama, and prompt-driven agent loops.
RAG Search
🔎 Exploring retrieval-augmented generation, semantic search, vector databases, embeddings, and context-aware agents.
Frontend
✨ TypeScript-first frontend development with React, Next.js, Vue, GraphQL, Tailwind CSS, and component-driven UI systems.
Backend APIs
🧩 API and service development with Python, Node.js, PHP, Java, GraphQL, queues, caches, and integration-focused architecture.
DevOps CI/CD
🚀 Automating delivery with Docker, GitHub Actions, Jenkins, Kubernetes, deterministic quality gates, and repeatable deployments.
Testing
🧪 Improving confidence with Cypress, Vitest, Jest, React Testing Library, Playwright CI, and coverage-focused test strategy.
Data Stores
🗄️ Designing and maintaining relational, document, cache, and retrieval-oriented data stores for application and agent workflows.
Architecture
🧭 Clarifying product requirements, system boundaries, API contracts, reusable components, tooling choices, and agent-assisted engineering plans.
Cloud Infra
☁️ Shipping cloud software with AWS, Cloudflare, Vercel, Terraform, Bun, container platforms, and pragmatic infrastructure automation.
Version Control
🔄 Collaborating through Git, GitHub, Bitbucket, pull requests, code review, and automated repository workflows.
IoT Automation
🛠️ Building hands-on automation projects with Arduino, Raspberry Pi, and personal-assistant style experiments that bridge hardware and AI.